Software Engineer, Lead

Booz Allen Hamilton•McLean, VA

4d•Remote

About The Position

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in national defense? You understand your customer’s environment and how to develop the right systems for the mission. Your ability to translate real-world needs into technical solutions makes you an integral part of delivering a customer-focused engineering solution. As an engineer on our team, you have the chance to shape the development of systems across multiple defense, civilian, and space domains by supporting advanced system design, test, and evaluation by combining physics-based modeling, AI/ML techniques, autonomy, cyber, and platform engineering expertise. Your customer will trust you to not only design and develop these solutions but also evolve them with advanced technology. On our team, you’ll be able to grow your skills by merging multiple technical engineering disciplines to create solutions that drive missions. Join us. The world can't wait.

Requirements

5+ years of experience implementing, maintaining, and supporting new and ongoing software development and architectures
5+ years of experience in software development using basic programming languages, technologies, tools, or web development stacks
Experience with innovation and disruptive thinking
Experience developing high-fidelity physics-based models and simulations, and digital twins
Experience writing clean, maintainable, and test-driven code for new applications or improving legacy front-end systems
Experience with Java, Kotlin, Python, JavaScript, TypeScript, C/C++, or Golang
Experience with AI assisted development, machine learning operation pipelines, big data, data science, or unbounded data streams
Experience contributing to solutions within a collaborative, Agile, and cross-functional team environment
TS/SCI clearance
Bachelor’s degree in an Engineering, Science, or Technology field

Nice To Haves

Experience with technical mentorship and collaboration with multi-disciplinary teams to ensure robust, scalable, and secure M&S environments
Experience with requirements and architecture development across the systems development lifecycle
Experience with design of experiments, ANOVA, and other statistical tests
Experience with foundation AI models, representation learning, computational and agent-based modeling, and machine learning integration
Experience leading validation and test and evaluation by benchmarking against ground-truth data and quantifying resilience under contested conditions
Knowledge of platform engineering, including deployment of workloads across cloud, such as AWS, Azure, or Cloud One, and on-premises HPC clusters
Knowledge of multi-domain operations, such as air, land, sea, space, cyber, and EW
Knowledge of DevSecOps practices, such as CI/CD pipelines, containerization, and orchestration
Ability to work with automated testing tools to perform testing and maintenance
Master’s degree in Engineering or Science and Technology

Responsibilities

Implementing, maintaining, and supporting new and ongoing software development and architectures
Developing high-fidelity physics-based models and simulations, and digital twins
Writing clean, maintainable, and test-driven code for new applications or improving legacy front-end systems
Contributing to solutions within a collaborative, Agile, and cross-functional team environment
Technical mentorship and collaboration with multi-disciplinary teams to ensure robust, scalable, and secure M&S environments
Requirements and architecture development across the systems development lifecycle
Design of experiments, ANOVA, and other statistical tests
Leading validation and test and evaluation by benchmarking against ground-truth data and quantifying resilience under contested conditions
Deployment of workloads across cloud, such as AWS, Azure, or Cloud One, and on-premises HPC clusters
Working with automated testing tools to perform testing and maintenance